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Abdelghafour, F.Y
Dhawale, N
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Authors
Adamchuk, V.I
Dhawale, N
Rene-Laforest, F
Adamchuk, V.I
Dhawale, N
Biswas, A
Lauzon‎, S
Dutilleul, P
Abdelghafour, F.Y
Rosu, R
Keresztes, B
Germain, C
Da Costa, J
Topics
Proximal Sensing in Precision Agriculture
Big Data Mining & Statistical Issues in Precision Agriculture
Proximal and Remote Sensing of Soil and Crop (including Phenotyping)
Type
Oral
Year
2014
2016
2018
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1. Development Of An On-The-Spot Analyzer For Measuring Soil Chemical Properties

Proximal soil sensing (PSS) is a growing area of research and development focusing on the use of sensors to obtain information on the physical, chemical and biological attributes of soil when they are placed in contact with, or at a distance of less than 2 m, from the target. These sensor systems have been used to 1) make measurements at specific locations, 2) produce a set of measurements related to soil depth profiles, or 3) monitor changes in soil properties over time. In each... V.I. Adamchuk, N. Dhawale, F. Rene-laforest

2. Integrated Analysis of Multilayer Proximal Soil Sensing Data

Data revealing spatial soil heterogeneity can be obtained in an economically feasible manner using on-the-go proximal soil sensing (PSS) platforms. Gathered georeferenced measurements demonstrate changes related to physical and chemical soil attributes across an agricultural field. However, since many PSS measurements are affected by multiple soil properties to different degrees, it is important to assess soil heterogeneity using a multilayer approach. Thus, analysis of multiple layers of geospatial... V.I. Adamchuk, N. Dhawale, A. Biswas, S. Lauzon‎, P. Dutilleul

3. Joint Structure and Colour Based Parametric Classification of Grapevine Organs from Proximal Images Through Several Critical Phenological Stages

Proximal colour imaging is the most time and cost-effective automated technology to acquire high-resolution data describing accurately the trellising plane of grapevine. The available textural information is meaningful enough to provide altogether the assessment of additional agronomic parameters that are still estimated either manually or with dedicated and expensive instrumentations. This paper proposes a new framework for the classification of the different organs visible in the trellising... F.Y. Abdelghafour, R. Rosu, B. Keresztes, C. Germain, J. Da costa